Recovering Whole-Brain Causal Connectivity under Indirect Observation with Applications to Human EEG and fMRI arxiv.org/abs/2602.09034

Predicting Gene Disease Associations in Type 2 Diabetes Using Machine Learning on Single-Cell RNA-Seq Data arxiv.org/abs/2602.09036

Reply To: Global Gridded Population Datasets Systematically Underrepresent Rural Population by Josias L\'ang-Ritter et al arxiv.org/abs/2602.09248

Open diffusion MRI and connectivity data for epilepsy and surgery: The IDEAS II release arxiv.org/abs/2602.09852

Importance inversion transfer identifies shared principles for cross-domain learning arxiv.org/abs/2602.09116 .soc-ph .LG

Reward-Guided Discrete Diffusion via Clean-Sample Markov Chain for Molecule and Biological Sequence Design arxiv.org/abs/2602.09424 .LG

Prenatal Stress Detection from Electrocardiography Using Self-Supervised Deep Learning: Development and External Validation arxiv.org/abs/2602.03886

Mathematical simulations of pediatric hemodynamics in isolated ventricular septal defect arxiv.org/abs/2602.04008

RareCollab -- An Agentic System Diagnosing Mendelian Disorders with Integrated Phenotypic and Molecular Evidence arxiv.org/abs/2602.04058

Discovering Mechanistic Models of Neural Activity: System Identification in an in Silico Zebrafish arxiv.org/abs/2602.04492

BrainVista: Modeling Naturalistic Brain Dynamics as Multimodal Next-Token Prediction arxiv.org/abs/2602.04512

Reversible Deep Learning for 13C NMR in Chemoinformatics: On Structures and Spectra arxiv.org/abs/2602.03875 .LG .AI

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